Senior Technical Product Manager, AI Agents

About Us:

Hippocratic AI has developed a safety-focused Large Language Model (LLM) for healthcare. The company believes that a safe LLM can dramatically improve healthcare accessibility and health outcomes in the world by bringing deep healthcare expertise to every human. No other technology has the potential to have this level of global impact on health. 

Why Join Our Team:

• Innovative Mission: We are developing a safe, healthcare-focused large language model (LLM) designed to revolutionize health outcomes on a global scale.

• Visionary Leadership: Hippocratic AI was co-founded by CEO Munjal Shah, alongside a group of physicians, hospital administrators, healthcare professionals, and artificial intelligence researchers from leading institutions, including El Camino Health, Johns Hopkins, Stanford, Microsoft, Google, and NVIDIA.

• Strategic Investors: We have raised a total of $278 million in funding, backed by top investors such as Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA’s NVentures, Premji Invest, SV Angel, and six health systems.

• World-Class Team: Our team is composed of leading experts in healthcare and artificial intelligence, ensuring our technology is safe, effective, and capable of delivering meaningful improvements to healthcare delivery and outcomes.

For more information, visit www.HippocraticAI.com.

We value in-person teamwork and believe the best ideas happen together. Our team is expected to be in the office five days a week in Palo Alto, CA unless explicitly noted otherwise in the job description

About the Role:

As a Senior Technical Product Manager, you will be responsible for optimizing safety and patient experience in Hippocratic AI’s clinical agents. You’ll own the development and continuous improvement of a subset of the agents in our multi-agent constellation of models architecture. You’ll help ensure that all patient and clinician interactions meet the highest standards of clinical accuracy, empathetic communication, and regulatory compliance.

In this role, you’ll collaborate with cross-functional teams—including engineering, research, and clinical experts — to implement robust safety guardrails, and deliver an exceptional patient experience. This is a highly detailed role where your work will directly influence the trust, reliability, and effectiveness of Hippocratic AI’s core healthcare-focused LLM offering.

Responsibilities:

• Work with engineering and research teams to refine technical specifications, create robust APIs, and improve the underlying engine architecture in order to optimize for safety and patient experience

• Define and track product metrics (e.g., hallucination rates, safety scores, user satisfaction, NPS) to gauge performance and drive improvements.

• Collaborate with the QA team to define and implement QA specifications, ensuring high product quality.

• Understand detailed feature implementation and work cross-functionally with design, engineering, and healthcare experts to ensure all product requirements are met.

Required Skills & Qualifications:

• Experience working with generative AI technologies.

• Excellent skills in writing product documentation, and defining QA specifications.

• Ability to manage product roadmaps and work cross-functionally with multiple teams (engineering, design, QA).

• Strong technical background to collaborate effectively with engineering and research teams (e.g., API definition, ML model lifecycle).

• Excellent communication and stakeholder management skills, with the ability to convey complex AI-related topics to both technical and non-technical audiences.

• Attention to detail and a track record of managing products in a fast-paced environment with multiple, competing priorities.

Preferred:

• Experience in developing or managing products in the healthcare or clinical field.

• Experience working in a startup or fast-growing company.

• Knowledge of healthcare regulations and safety standards.

• Previous engineering experience, computer science degree, or deep technical experience is strongly preferred